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基于智能体的行人路径查找微观模型研究
引用本文:李君霞,曹菡,周影,杨沛,李起栋.基于智能体的行人路径查找微观模型研究[J].计算机工程与科学,2008,30(3):145-148.
作者姓名:李君霞  曹菡  周影  杨沛  李起栋
作者单位:陕西师范大学计算机科学学院,陕西,西安,710062
基金项目:国家自然科学基金资助项目(40471102)
摘    要:已有的行人路径查找模型大多数只关心行人群体的行为,而对行人的个体行为和思维方式几乎没有研究。为了更能体现行人的个体行为、思维方式以及行人与环境的交互作用,本文采用智能体和分层路网的思想,首先对行人智能体所处的路网进行分类,其中对机动车路网采用路线轨迹法,对行人采用无轨迹的路网描述;其次赋予行人一些复杂的的规则,并加入吸引点效应、信号灯效应和行人的群效应等约束规则,分析行人与其它行人、机动车、路网以及信号灯等的交互模型,体现行人智能体的自主性、反应性和社会性等;最后初步描述行人智能体复杂的路径查找微观模型全过程。通过对比分析几种典型的行人路径查找模型,表明本文的行人路径查找微观模型更能反映现实生活中的行行人路径查找过程,更能体现行人的智能性。

关 键 词:智能体  行人路径查找微观模型  环境  规则
文章编号:1007-130X(2008)03-0145-04
收稿时间:2007-08-01
修稿时间:2007-09-19

Research on the Microscopic Model of Pedestrians' Way Finding Based on Agents
LI Jun-xia,CAO Han,ZHOU Ying,YANG Pei,LI Qi-dong.Research on the Microscopic Model of Pedestrians' Way Finding Based on Agents[J].Computer Engineering & Science,2008,30(3):145-148.
Authors:LI Jun-xia  CAO Han  ZHOU Ying  YANG Pei  LI Qi-dong
Abstract:Most of the existing models of pedestrians' way finding only pay attention to the pedestrians' group behavior and hardly study the pedestrians' ind  ividual behavior. In order to reflect the individual behavior, the thinking mode of pedestrians, and the interaction between pedestrians and the environment, we adopt the idea of agents and road network classification. Firstly, we classify the road network of pedestrian agents, use the paths' track to  describe the network of vehicles and use the non-track road network to describe the pedestrians' network. Secondly,we give some complex rules of pedes strians, analyze the interactive model between pedestrians and the enviroments such as other pedestrians, vehicles, road network, signal lights,and so oprocess about the complex microscopic model of pedestrians' way finding. Through comparing with other typical models, the microscopic model of pedestrians' way finding in this paper ca an reflect the process of way finding, and can manifest the pedestrian's intelligence more effectively than other models.
Keywords:agent  microscopic model of pedestrians  way finding  environment  rule
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